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Data Analyst & Power App Developer – Manufacturing

Caterpillar

Data Analyst & Power App Developer – Manufacturing

Caterpillar

Aurangabad, Maharashtra

·

On-site

·

Full-time

·

5d ago

Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Role Definition:

Manages the development, implementation and support of business analytics initiatives and projects using Microsoft Power Platform Tools

Responsibilities:

Role involves working with Power Apps, Power Automate, Power BI, and Power Virtual Agents to create applications that improve business processes. Develop and derive solutions architecture, ensuring they meet business needs and technical requirements using Power Platform.

Experienced in development and maintenance of Power Pages, Use the platform effectively to solve business problems while staying within supported guardrails.

Skill Descriptors
Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.

Level Extensive Experience:

  • Generates and interprets a wide range of statistical data and reports.
  • Utilizes in-depth knowledge of several statistical tools or applications.
  • Instructs others in statistical concepts and techniques and their application to business.

Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.

Level Extensive Experience:

  • Seeks discrepancies and inconsistencies in available information; explains variances.
  • Organizes and prioritizes the sequence of steps to be taken to remedy the situation.
  • Identifies many possible causes for a problem based on prior experience and current research.
  • Quantifies the costs, benefits, risks and chances for success before recommending a course of action.
  • Approaches a complex problem by breaking it down into its component parts.
  • Chooses among a diverse set of analytical tools according to the nature of the situation.

Innovation: Knowledge of the value of innovation; ability to create and develop new ideas for answers to work-related problems that improve the performance of the organization.

Level Extensive Experience:

  • Finds new or non-traditional ideas to improve effectiveness in team's area of responsibility.
  • Guides team members in the development and fulfilment of proposed innovations.
  • Fosters a team culture that encourages exploration of non-traditional ideas.
  • Encourages and embraces exploration of non-traditional ideas from team members.
  • Implements strategies for renewing or deepening change efforts.
  • Develops change initiatives that target improvement of significant organizational capabilities.

Emerging Technologies: Knowledge of emerging technologies; ability to design, apply and evaluate new information technologies for business environments.

Level Extensive Experience:

  • Evaluates best practices of emerging information technologies to learn and understand principles and applications.
  • Evaluates business accuracy and productivity levels derived from information technology influences.
  • Determines long-term, strategic requirements for the design of information technologies.
  • Monitors information technology users to ensure compliance with organizational policies.
  • Resolves all technical and administrative problems that occur in the design, application and evaluation of information technology.

Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.

Level Working Knowledge:

  • Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.
  • Utilizes specific tools and techniques to process descriptive and inferential statistics.
  • Applies specific computing languages and tools in machine learning, such as SQL, and Python.
  • Explores to use machine learning in one own areas to make business improvements.
  • Conducts data mining and cleaning initiatives.

Proficiency in Power Apps development, including Canvas Apps, Model-Driven Apps, and Power Automate.

Knowledge of best practices for app performance optimization and security within the Power Apps platform.

Certifications:

Experience and certifications (e.g. PL-100, PL-200, PL-400, PL-500 and PL-600) in the Microsoft stack is highly desirable

Posting Dates:

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

Not ready to apply? Join our Talent Community.

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About Caterpillar

Caterpillar

Caterpillar Inc. is an American construction, mining, and other engineering equipment manufacturer. The company is the world's largest manufacturer of construction equipment. In 2018, Caterpillar was ranked number 73 on the Fortune 500 list and number 265 on the Global Fortune 500 list.

10,001+

Employees

Peoria

Headquarters

Reviews

3.5

3 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.0

Career

2.0

Management

2.5

25%

Recommend to a Friend

Pros

Strong company brand and reputation

Supportive management willing to fund training

Trusted team member with recognized expertise

Cons

Limited internal advancement opportunities

Company loyalty not rewarded with career growth

Heavy extroverted culture difficult for introverts

Salary Ranges

3 data points

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Mid/L4 · Data Scientist Grade 21

0 reports

$117,078

total / year

Base

-

Stock

-

Bonus

-

$99,517

$134,639

Interview Experience

7 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

43%

Experience

Positive 43%

Neutral 43%

Negative 14%

Interview Process

1

Application Review

2

Online Assessment

3

Technical Interview

4

Final Round Interview

5

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience